Multi-drug-resistant bacteria (MDR) are the cause of different infections and diseases that have affected humanity for a long time, and have been an emerging global health problem that has led to increased morbidity and mortality. The growing emergence of MDR bacteria has underlined the need for development and discovery of new antibacterial compounds. In this context, a series of new paeonol 1,2,3-triazole and ether derivatives were synthesized using copper(I)-catalyzed azide-alkyne cycloaddition (CuAAC) reaction and nucleophilic substitution. Paeonol has been a natural product widely studied due to its many biological activities, as well as its derivatives. Three ether derivatives (two unpublished) and ten triazole derivatives (six unpublished) of paeonol were obtained, which were determined by nuclear magnetic resonance (NMR), Fourier transform infrared spectrometry (FTIR), Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS) and six of them by X-rays, which is the first study of this type presented for these compounds. All the synthesized compounds were evaluated as antibacterial agents against Staphylococcus aureus and Escherichia coli, obtaining a minimum inhibitory concentration (MIC) above 100 µg mL-1. The results showed that CuAAC and nucleophilic substitution were very useful to obtain new paeonol triazole and ether derivatives and the products were obtained in yields from 21.3 to 98.5%. The advantages of these reactions (high yield in most compounds, reaction time, low impurities) show that using the method to produce new derivatives is advisable thus assisting in the discovery of new potential bioactive compounds.

Fire investigation is a complex activity that involves skill, technology, knowledge and science and aims to elucidate fire-related events such as cause, origin, propagation, phenomena, etc. Chemical analysis to verify the presence of foreign substances in that location, as well as the use of fire simulation software are efficient and economical ways to study fire behavior during the occurrence of fire. This work demonstrates the application of Gas Chromatography coupled to Mass Spectrometry (GC-MS) in the analysis for gasoline and diesel identification in different substrates, as well as the application of computational fluid dynamics (CFD) to aid in the elucidation of fires. The chemical analyses performed showed the possibility of identifying the presence of accelerants even in small quantities (1 µL) and in different types of materials (wood, polyethylene, polyurethane, polyamide and newsprint). The computational model generated by the software proved to be consistent with the data obtained at the scene by the fire expert, thus serving in the hypothesis discard and conclusion of the investigation.